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An approach to a feature-based comparison of solid models of machined parts
2002
Artificial intelligence for engineering design, analysis and manufacturing
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This paper presents our approach to manufacturing similarly assessment of solid models of mechanical parts based on machining features. ...
Our technical approach is three-fold: (1) perform machining feature extraction; (2) construct a model dependency graph (MDG) from the set of machining features; (3) partition the models in a database using ...
Introduction We present an approach to comparing the manufacturing similarity of solid models of machined artifacts based on their machining features. ...
doi:10.1017/s0890060402165048
fatcat:n7ur3rzob5h25awy4sjw7wn4i4
Feature-based similarity assessment of solid models
1997
Proceedings of the fourth ACM symposium on Solid modeling and applications - SMA '97
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This paper presents our initial efforts to develop a systematic approach for assessing the similarity of solid models based on how they will be manufactured. ...
The goal of this work is to develop methods that, given a solid model representing the design of a new product, query a product information database (of solid models, associated manufacturing plans, and ...
The machined part is a solid object, represented by a solid model of the part P , to be produced as a result of a finite set of machining operations. ...
doi:10.1145/267734.267806
dblp:conf/sma/ElinsonNR97
fatcat:377fjneo45hwfk3k736zcv3whm
A 3D object classifier for discriminating manufacturing processes
2006
Computers & graphics
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Statistics on surface curvatures are used to construct the curvature-based shape descriptor; and a supervised machine learning classifier, based on support vector machines, is applied to learn a separator ...
for models that are "prismatic machined" and "cast-then-machined". ...
Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the other supporting ...
doi:10.1016/j.cag.2006.08.013
fatcat:yjaugtwjcvchboqmb7tuxjc6va
An Algorithm for Subgraph Isomorphism
1976
Journal of the ACM
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Generally, commercial computer-aided design (CAD) sys tems use a feature-based design approach to solid modeling. ...
CAM and CAPP systems also use feature based approaches to describe the manufacturing and assembly of an artifact. ...
doi:10.1145/321921.321925
fatcat:h7jexkfkqrdgvlecqbv3swljoi
Benchmarking CAD search techniques
2005
Proceedings of the 2005 ACM symposium on Solid and physical modeling - SPM '05
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3) two datasets of industrial CAD models classified based on object function and manufacturing process, respectively; (4) and a dataset of LEGO c models from the Mindstorms c robotics kits. ...
These datasets include (1) a dataset of CAD primitives (such as those common in constructive solid geometry modeling); (2) two datasets consisting of classes generated by minor topological variation; ( ...
Acknowledgment This work was supported in part by National Science Foundation (NSF) CAREER Award CISE/IIS-9733545 and Office of Naval Research (ONR) Award No. N00014-01-1-0618. ...
doi:10.1145/1060244.1060275
dblp:conf/sma/BespalovIRS05
fatcat:cky7gyk5jngylofxsbyhaejbji
Using shape distributions to compare solid models
2002
Proceedings of the seventh ACM symposium on Solid modeling and applications - SMA '02
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We provide a brief review of shape matching with distribution functions and present an approach to matching solid models. ...
Our recent work has described how to use feature and topology information to compare 3-D solid models. In this work we describe a new method to compare solid models based on shape distributions. ...
This work was supported in part by ...
doi:10.1145/566282.566322
dblp:conf/sma/IpLSR02
fatcat:bj2lcu5rgzgjrjzxd2szu5p2ea
Development of a Reference Part for the Evaluation of Energy Efficiency in Milling Operations
2015
Procedia CIRP
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The paper provides a proposal for a reference part which will allow a standardized evaluation of the energy efficiency and technical capability of solid end mills based on facts taken directly from the ...
Based on a scientific recomposition of these single components and measures the reference part was developed. ...
Acknowledgements All topics presented in this paper are outcomes of the research project "Development of an energy-efficient cutting edge geometry for solid end mills" (Entwicklung einer energieverbrauchsoptimierten ...
doi:10.1016/j.procir.2014.07.104
fatcat:33h3urgcs5dxdnvw54y64hhpiy
Efficient Radiomics-Based Classification of Multi-Parametric MR Images to Identify Volumetric Habitats and Signatures in Glioblastoma: A Machine Learning Approach
2022
Cancers
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It encroaches on brain tissue with heterogeneous regions of a necrotic core, solid part, peritumoral tissue, and edema. ...
The proportional volume size of the edema was about 1.5 times larger than the size of the solid part tumor. The volume size of the solid part was approximately 0.7 times in the necrosis area. ...
We represented radiomic features based on imaging signatures of the heterogeneous GBM tumor tissue parts (Figure 2 ) and created a radiomic-based model for the semiautomatic annotation of GBM using MRI ...
doi:10.3390/cancers14061475
pmid:35326626
pmcid:PMC8945893
fatcat:qqkgy77e35gwreickxdvps7ule
Using shape distributions to compare solid models
2002
Proceedings of the seventh ACM symposium on Solid modeling and applications - SMA '02
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We provide a brief review of shape matching with distribution functions and present an approach to matching solid models. ...
Our recent work has described how to use feature and topology information to compare 3-D solid models. In this work we describe a new method to compare solid models based on shape distributions. ...
This work was supported in part by ...
doi:10.1145/566313.566322
fatcat:qffysvkezrhexg3apzgmsew5fa
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning
2021
Journal of Clinical Medicine
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The multiparametric MRI-based radiomics model showed the efficient classification of tumor subregions of GBM and suggests that prognostic radiomic features from a routine MRI exam may also be significantly ...
Glioblastoma multiforme (GBM) carries a poor prognosis and usually presents with heterogenous regions of a necrotic core, solid part, peritumoral tissue, and peritumoral edema. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/jcm10092030
pmid:34068528
fatcat:aholl3idunhxpdayvugta7jdcm
Methods for automated manufacturability analysis of injection-molded and die-cast parts
2009
Research in Engineering Design
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This article discusses a procedure to obtain a 3D binary representation of the solid model and develops feature recognition techniques to extract critical manufacturability information from this 3D binary ...
A novel feature recognition method is developed that is based on decomposing the part into elemental cubes and then, making use of their individual manufacturability, the manufacturability of the part ...
An approach to find parting lines by slicing a solid model was proposed by Wong et al. (1998) . ...
doi:10.1007/s00163-009-0070-9
fatcat:bajmry7kwffgpiqjjzzwpnqbgu
Automated learning of model classifications
2003
Proceedings of the eighth ACM symposium on Solid modeling and applications - SM '03
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This paper describes a new approach to automate the classification of solid models using machine learning techniques. ...
In this way, the core shape learning algorithm can be used to find a wide variety of model classifications based on user input and training data. ...
This work was supported in part by NSF CAREER Award CISE/IIS-9733545, ONR Grant N00014-01-1-0618, Honeywell FM&T and Lockheed Martin. ...
doi:10.1145/781606.781659
dblp:conf/sma/IpRSS03
fatcat:uquanuqyjvaejlrihxzhhs65jm
Automated learning of model classifications
2003
Proceedings of the eighth ACM symposium on Solid modeling and applications - SM '03
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This paper describes a new approach to automate the classification of solid models using machine learning techniques. ...
In this way, the core shape learning algorithm can be used to find a wide variety of model classifications based on user input and training data. ...
This work was supported in part by NSF CAREER Award CISE/IIS-9733545, ONR Grant N00014-01-1-0618, Honeywell FM&T and Lockheed Martin. ...
doi:10.1145/781650.781659
fatcat:s3w3f2cfhvfenid4cn5cis7kry
IMACS: a case study in real-world planning
1998
IEEE Intelligent Systems and their Applications
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IMACS is an automated designer's aid to evaluate the manufacturability of machined parts and suggest design modications to improve manufacturability. ...
In particular, our experience suggests that process planning for complex machined parts would not be accomplished very well by populating a general purpose planner with domain-specic knowledge. ...
ACIS .sat, B e n tley MicroStation .dgn, and STEP AP203 format solid models for the example parts in this paper can be obtained through the World Wide Web through the NIST Design, Process Planning, and ...
doi:10.1109/5254.683210
fatcat:fwnyj72alzc3pgilswg7mxmp2u
Study of Combination Algorithm in Partitioning Manufacture Technology
2011
Advanced Engineering Forum
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For the piece number is the primary reason influencing the machining efficiency, to reduce it, a combination algorithm is introduced based on the original feature-based partitioning algorithm. ...
Partitioning Manufacture Technology (PMT), which can get complex parts by simple processing has been developed to reduce tooling cost or increase machining efficiency. ...
Since this approach automatically produces solid models of model components, it can be integrated with CAM systems to generate the cutter path plans for manufacturing the individual components. a) A part ...
doi:10.4028/www.scientific.net/aef.1.150
fatcat:6nj5b2ygejcmxgeqcvxlxwqazi
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